An overview of sound source localization based condition monitoring robots

Abstract

As artificial intelligence advances and demand for cost-effective equipment maintenance in various fields increases, it is worth insightful research on utilizing robots embedded with sound source localization (SSL) technology for condition monitoring. Combining the two techniques has significant advantages, which are conducive to further classifying and tracking abnormal sources, thereby enhancing system performance at a lower cost. The paper provides an overview of current acoustic-based robotic techniques for condition monitoring, highlights the common SSL methods, and finds that localization performance heavily depends on signal quality. The advantages of combining robotics with SSL are then summarized, especially the emergence of non-synchronous measurement, which is more suited for integrating acoustic monitoring with mobile robots. Therefore, we proposed the framework of SSL based condition monitoring robots and discussed their application prospects in various fields. Finally, several challenges in this respect and new research perspectives for future studies are summarized.